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作 者:康晋 KANG Jin(Automotive Engineering Institute,Hunan Communication Polytechnic,Changsha 410132,China)
机构地区:[1]湖南交通职业技术学院汽车工程学院,长沙410132
出 处:《机械设计与研究》2023年第5期191-196,共6页Machine Design And Research
基 金:湖南省教育厅科学研究项目(22C0951)。
摘 要:工程实际中,驾驶室翻车保护装置ROPS所用的矩形钢,是由高强钢板折弯焊接而成,标准库内备选的钢板厚度规格有限且不连续。因此,驾驶室ROPS优化设计属于离散变量优化问题。利用分离常数项的高维拉格朗日材料插值模型,将离散板厚连续化,并将插值后的连续板厚代入TPS-HDMR代理模型中,建立设计参数与目标函数的近似模型。采用梯度优化法对驾驶室ROPS进行板厚优化。优化结果与遗传算法结果对比,验证该方法的可行性,该方法计算效率高于遗传算法。此外,该方法还可以提高建立代理模型的效率与精度。The rectangular steel used in ROPS is made by bending and welding of high strength steel plates.The available steel plate thickness specifications in the standard library are limited and discontinuous.Therefore,Cab ROPS optimization design is a discrete variable optimization problem.The discrete thickness of plates is made continuous using a high dimensional Lagrangian material interpolation model with separate constant terms.The interpolated continuous plate thickness is substituted into the TPS-HDMR proxy model.The approximate model of the design parameters and the objective function is established.The gradient optimization method is used to optimize the plate thickness of Cab ROPS.The results of the optimization are compared with those of genetic algorithm to verify the feasibility of the proposed method.The computational efficiency of this method is higher than that of genetic algorithm.In addition,this method can also improve the efficiency and accuracy of the proxy models.
关 键 词:驾驶室ROPS 离散优化 梯度优化 高维拉格朗日材料插值模型 高维模型
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